Qiskit addon API references
Explore reference documentation for Qiskit addon APIs to learn how to use their endpoints, parameters, and operations.
All Qiskit addons
A collection of modular research capabilities that enable the discovery of new quantum algorithms.
Learn moreA collection of tools to supplement workflows that involve one or more Qiskit addons.
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Supports the construction of high-fidelity circuits with reduced depth.
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Reduces the depth of transpiled circuits by decomposing entangling gates between non-adjacent qubits.
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Reduces the Trotter error of Hamiltonian dynamics through a weighted combination of several circuit executions.
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Yields more accurate quantum system Hamiltonian eigenvalue estimations.
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Boost the fidelity of sampled distributions using hardware-efficient Pauli checks based on spacetime codes.
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Mitigate expectation values by measuring a target observable that has absorbed noise model information.
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A framework to approximate operator evolution, which can be used to simulate expectation values and implement error mitigation techniques, such as propagated noise absorption (PNA) and shaded lightcones.
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Extends the Qiskit Python SDK with tools for working on fermionic systems.
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Reduce probabilistic error cancellation (PEC) sampling overhead by removing noise model terms that have low impact on the observable estimation.
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Build randomization-based quantum noise characterization experiments and model-fitting analysis pipelines.
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Build custom error mitigation pipelines with techniques such as PEC, ZNE, and TREX directly with Samplomatic.
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